Joachim M Buhmann
12 papers · 2006–2023 · 2 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (17) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (2) 🐝 Cross-Pollinator (10)
🌍
Conference Polyglot
(2)
🏃
Academic Marathon
(17)
🐝
Cross-Pollinator
(10)
🗃️
Keyword Collector
(67)
📈
Trend Setter
💎
Century Club
(12)
🚀
Conference Pioneer
Conferences
NIPS (11)
MIDL (1)
Top co-authors
Research topics
Keywords
parameter inference
(2)
dynamical system
(2)
variational inference
(2)
dimensionality reduction
(2)
domain generalization
(1)
stochastic gradient descent
(1)
reinforcement learning
(1)
robust regression
(1)
representation learning
(1)
model selection
(1)
semi-supervised learning
(1)
in-context learning
(1)
anomaly detection
(1)
classification
(1)
kernel principal component analysis
(1)
semantic segmentation
(1)
point cloud
(1)
3d vision
(1)
denoising
(1)
stochastic gradient
(1)
Papers
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective
NIPS 2023
Explore In-Context Learning for 3D Point Cloud Understanding
NIPS 2023
Learning Long-Term Crop Management Strategies with CyclesGym
NIPS 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
NIPS 2022
Holistic Modeling In Medical Image Segmentation Using Spatial Recurrence
MIDL 2022
Scalable Variational Inference for Dynamical Systems
NIPS 2017
Continuous DR-submodular Maximization: Structure and Algorithms
NIPS 2017
Efficient and Flexible Inference for Stochastic Systems
NIPS 2017
Scalable Adaptive Stochastic Optimization Using Random Projections
NIPS 2016
Fast and Robust Least Squares Estimation in Corrupted Linear Models
NIPS 2014
Correlated random features for fast semi-supervised learning
NIPS 2013
Denoising and Dimension Reduction in Feature Space
NIPS 2006